Sports — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
8 measurements spanning 40 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 455–461 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 10:40
458
-1
8 Sept 2026, 02:01
459
-1
29 Aug 2026, 00:04
460
+3
20 Aug 2026, 23:53
457
+1
15 Aug 2026, 00:57
456
-1
8 Aug 2026, 09:51
457
+1
8 Aug 2026, 04:50
456
no change
7 Aug 2026, 16:56
456
first reading
Engagement
9 posts held, back to 17 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
38s
Average length
19s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
897 reactions across 9 posts, in 14 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
453
50.5%
❤🔥
158
17.6%
❤
102
11.4%
👍
101
11.3%
👏
24
2.68%
💯
18
2.01%
🎉
16
1.78%
🤝
12
1.34%
⚡
5
0.557%
💘
3
0.334%
😱
2
0.223%
🆒
1
0.111%
🍓
1
0.111%
💋
1
0.111%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 9 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 897 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 17 October 2025 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
20
across the posts below
Posts paid on
7
of 9 we hold a reading for · 78%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ramilgasanov001. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 9 most recent posts we hold for this entry, published 17 October 2025 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Сегодня в Королёве прошла встреча представителей спорта и спортивных блогеров с
олимпийским чемпионом Депутатом Московской областной Думы Александром Геннадьевичем Легковым https://t.me/alexanderlegkov ,
главой города Королёва Игорем Владимировичем Трифоновым https://t.me/ivtrifonov ,
депутатом Московской областной Думы,председателем Комитета по аграрной политике и потребительскому рынку Сергеем Айковичем Керселяном …
Задача выполнена, Цурикова Екатерина чемпионка Спартакиады 2026 г.Смоленск ! 🔥
В единственной категории девочек 14-15 лет до 55к с весом 48 кг ,все девочки её тяжелее на 5-9 кг
Как заранее писал по итогам 3-х Всероссийских турниров наша команда стала лучшей в России 💪
Все благодаря нашим чемпионам ,родителям которые имеют железный характер и не смотря на дела ,возят детей по соревнованиям ,ну и тренерскому составу ,который вкладывает все силы и знания в наших чемпионов !
Идем вперед ,ни шагу назад ! 👊
По итогам 3-х Всероссийских соревнований мы лучшие в России ! 💪🔥
1. Всероссийские соревнования город Москва
2. Всероссийские соревнования город Санкт-Петербург
3. Всероссийские соревнования город Иваново
Вчера прошли Всероссийские соревнования «вызов пределам»!
Командные места :
1. ФБИ города Королева
2. Липецка область
3. Хаджиме Додзе
4. Тверская область
5. Москва
Турнир собрал большее 300 участников из разных регионов!
Наши ребята ,как обычно лучшие !
Forwarded from @shkolachempionovRamilaGasanovaPhoto
🤩Единая Школьная лига стартовала с большим размахом
🎆Сегодня, 16 октября, гимназия №9 открыла свои двери для участников и гостей важного события — начала нового сезона Королёвской школьной лиги.🤩
🚀Это мероприятие представляет собой не просто соревнования, а целое движение, которое объединяет школьников города, раскрывая их спортивные способности, лидерские качества и командный дух. В рамках церемонии открытия состо…
🔥36❤22❤🔥17
Signed Гасанов Рамил
Showing the 9 most recent of 9 posts we hold for @ramilgasanov001. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Рамил Гасанов / Личная страница” (@ramilgasanov001), 458 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/ramilgasanov001.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
